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68 results on '"Ming-Lin Yang"'

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1. Cross-Talk of Toll-Like Receptor 5 and Mu-Opioid Receptor Attenuates Chronic Constriction Injury-Induced Mechanical Hyperalgesia through a Protein Kinase C Alpha-Dependent Signaling

3. On the Finite Element Tearing and Interconnecting Method for Scattering by Large 3D Inhomogeneous Targets

11. Hybrid Matrix-Decomposition-Based Fast Direct Solver of Integral Equations

12. Massively Parallel Discontinuous Galerkin Surface Integral Equation Method for Solving Large-Scale Electromagnetic Scattering Problems

13. Solving Electromagnetic Scattering Problems with Tens of Billions of Unknowns Using GPU Accelerated Massively Parallel MLFMA

15. A New SDIE Based on CFIE for Electromagnetic Scattering From IBC Objects

17. An Effective $\mathcal{H}$-LU-Based Preconditioner for the FE-BI-MLFMA for 3-D Scattering Problems

18. A Ternary Parallelization Approach of MLFMA for Solving Electromagnetic Scattering Problems With Over 10 Billion Unknowns

20. An Adaptive Rational Fitting Technique of Sommerfeld Integrals for the Efficient MoM Analysis of Planar Structures

21. Massively Parallel Approach of Multilevel Fast Multipole Algorithm on DCU Clusters for Large Electromagnetic Scattering problems

22. Parallel SDIE Method Based on CFIE and IBC for Electromagnetic Scattering Analysis of Large-Scale and Nonuniform Coated Objects

23. An Asynchronous Parallel Implementation of Multilevel Fast Multipole Algorithm on GPU Cluster for 3D Electromagnetic Scattering Problems

24. Corrigendum to: The TianQin project: current progress on science and technology

25. Cross-Talk of Toll-Like Receptor 5 and Mu-Opioid Receptor Attenuates Chronic Constriction Injury-Induced Mechanical Hyperalgesia through a Protein Kinase C Alpha-Dependent Signaling

26. A Well-Scaling Parallel FEM-DDM Algorithm for Electromagnetic Simulation on SW26010 Many-core Processor

27. An H-LU Preconditioner for the Hybrid Finite Element-Bomdaty Integral

28. Efficient Implementation of Multilevel Fast Multipole Algorithm on SW26010 Many-core Processor

29. Cover Image

30. The TianQin project: Current progress on science and technology

31. Parallel hierarchical decomposition of finite element method with block diagonal symmetric Gauss‐Seidel preconditioner for solving 3D problems with over ten billion unknowns

32. The First Round Result from the TianQin-1 Satellite

33. A Cost-Effective Preconditioner for Complete Domain Decomposition Method of Hybrid Finite Element-Boundary Integral

34. Solving Electromagnetic Scattering Problems with Over 10 Billion Unknowns with the Parallel MLFMA

35. Efficient Parallelization of MLFMA for 3D Electromagnetic Scattering Problems on Sunway Many-core Processor SW26010

36. On the <tex-math notation='LaTeX'>$\mathcal{H}$ </tex-math> -LU-Based Fast Finite Element Direct Solver for 3-D Scattering Problems

37. A Ternary Parallelization Approach of MLFMA for Solving Problems with Billions of Unknowns

38. Parallel FEM-DDM with BD-SGS Preconditioner for 3D Scattering by Large Inhomogeneous Objects

39. An Efficient Parallelization Approach of FEM-DDM for Large-Scale 3D Scattering Problems

40. Nonconformal FETI-DP Domain Decomposition Methods for FE-BI-MLFMA

41. An efficient approach for computing scattering by inhomogeneous objects with thin dielectric structures

43. H-LU-Based Fast Finite Element Direct Solver for 3D Scattering Problems

44. A non-conformal FETI-like domain decomposition approach of FE-BI-MLFMA for 3-D electromagnetic scattering/radiation problems

45. ACCURATE AND EFFICIENT ANALYSIS OF LARGE ANTENNA ARRAYS WITH RADOME ON A LARGE AIRCRAFT

46. An Effective Domain-Decomposition-Based Preconditioner for the FE-BI-MLFMA Method for 3D Scattering Problems

47. Parallel Domain-Decomposition-Based Algorithm of Hybrid FE-BI-MLFMA Method for 3-D Scattering by Large Inhomogeneous Objects

48. DOMAIN DECOMPOSITION FE-BI-MLFMA METHOD FOR SCATTERING BY 3D INHOMOGENEOUS OBJECTS

49. Domain decomposition methods of FE-BI-MLFMA for 3D scattering problems

50. Solving Problems With Over One Billion Unknowns by the MLFMA

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